quantstack/wan2.2-t2v-a14b-ggufvstvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf
Side-by-side comparison of quantstack/wan2.2-t2v-a14b-gguf and tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf: downloads, license, context length, tasks, and benchmarks.
quantstack/wan2.2-t2v-a14b-gguf
This GGUF file is a direct conversion of Wan-AI/Wan2.2-T2V-A14B Since this is a quantized model, all original licensing terms and usage restrictions remain in effect. **Usage** The model can be used with the ComfyUI custom node ComfyUI-GGUF by city96 Place model files in ComfyUI…
tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf
can i fit moe qwen3.5 in 10gb vram? since thats already risky, lets yolo and use claude distil too. 0.65 compression this time. my original goal was 8gb vram but i mathed wrong somewhere. that fits fine on my gpro x080 but not single gpu in the radeon v340l. maybe ill give it an…
Side-by-side Specifications
| quantstack/wan2.2-t2v-a14b-gguf | tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf | |
|---|---|---|
| Author | QuantStack | tvall43 |
| Pipeline Task | text-to-video | text-generation |
| Library | gguf | transformers |
| Downloads | 69,364 | 20,490 |
| Likes | 247 | 18 |
| License | Unknown | Unknown |
| Context Length | — | — |
| Created | 2025-07-28 | 2026-03-09 |
| Last Modified | 2025-07-29 | 2026-03-09 |
| Tags |
View full details: quantstack/wan2.2-t2v-a14b-gguf · tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf